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Modern AI-assisted development workflow
Automated code review with AI agents
AI safety and responsible AI practices
Customizing Claude Code with CLAUDE.md
Using Claude Code CLI for autonomous development
Advanced Claude Code workflows and automation
Using Cursor IDE with advanced AI features
| name | ai-coding-workflow |
| description | Modern AI-assisted development workflow |
| category | ai |
| tags | ["workflow","ai-assisted","development","best-practices"] |
| models | ["sonnet","opus"] |
| version | 1.0.0 |
| created | "2026-05-14T00:00:00.000Z" |
A systematic approach to modern AI-assisted software development from spec to deployment.
# 1. Specification
cat > spec.md << 'EOF'
## Feature: User Authentication
- Email/password login with JWT
- OAuth (Google, GitHub)
- Session management with refresh tokens
- Rate limiting on login attempts
EOF
# 2. Architecture review with AI
claude -p "Review this spec for completeness. Identify missing edge cases and security considerations." < spec.md
# 3. Implementation with AI pair programming
claude -p "Implement the authentication system per spec.md. Use FastAPI, SQLAlchemy, and python-jose. Include comprehensive error handling."
# 4. Test generation
claude -p "Write pytest tests for the auth module. Cover: happy path, invalid credentials, token expiry, rate limiting, OAuth flow."
# 5. Code review
claude -p "Review the auth module for security vulnerabilities, specifically: SQL injection, JWT secret handling, timing attacks on comparison."
The modern AI workflow: Spec → Architecture Review → Implementation → Test Generation → Code Review → Deployment. Each phase uses AI differently—from creative generation to critical analysis.